ETHICAL IMPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ACCOUNTING PRACTICES: A RWANDAN PERSPECTIVE

This study investigates the ethical implications of Artificial Intelligence (AI) in accounting practices within Rwanda, focusing on transparency, data privacy, and equitable access to technology. Using a qualitative research design, data was collected through semi-structured interviews with accounting professionals, policymakers, and technology experts. Key findings reveal a 75% AI adoption rate in 2024, resulting in significant efficiency gains (80%), cost reductions (70%), and accuracy improvements (85%). However, ethical concerns, particularly data privacy breaches (75%) and algorithmic bias (50%), have escalated. Statistical analyses, including a Pearson correlation coefficient (0.89), underscore the interconnectedness of AI adoption, ethical concerns, and public trust. Despite strong public perception (75% positivity in 2024), unresolved ethical challenges threaten sustainable adoption. Recommendations include ethics-focused training, enhanced regulatory frameworks, equitable AI access, and public awareness initiatives to align technological innovation with ethical integrity.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-30
DOI
https://doi.org/10.5281/zenodo.16673370
Primary Topic
Financial Reporting and XBRL
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ETHICAL IMPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ACCOUNTING PRACTICES: A RWANDAN PERSPECTIVE

Zenodo (CERN European Organization for Nuclear Research)
Financial Reporting and XBRL
article

ETHICAL IMPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ACCOUNTING PRACTICES: A RWANDAN PERSPECTIVE

article en

Abstract

This study investigates the ethical implications of Artificial Intelligence (AI) in accounting practices within Rwanda, focusing on transparency, data privacy, and equitable access to technology. Using a qualitative research design, data was collected through semi-structured interviews with accounting professionals, policymakers, and technology experts. Key findings reveal a 75% AI adoption rate in 2024, resulting in significant efficiency gains (80%), cost reductions (70%), and accuracy improvements (85%). However, ethical concerns, particularly data privacy breaches (75%) and algorithmic bias (50%), have escalated. Statistical analyses, including a Pearson correlation coefficient (0.89), underscore the interconnectedness of AI adoption, ethical concerns, and public trust. Despite strong public perception (75% positivity in 2024), unresolved ethical challenges threaten sustainable adoption. Recommendations include ethics-focused training, enhanced regulatory frameworks, equitable AI access, and public awareness initiatives to align technological innovation with ethical integrity.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Financial Reporting and XBRL
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.